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Synopsis
Huge collections of digital images exist on the web, in large company databases or on our private hard disks. When the images have not been annotated by keywords, finding pictures containing certain objects is a difficult task. This work deals with the recognition of visual object class members in digital photographs, solely using the image data. The fundamental principle of all methods employed and developed in this thesis is the use of local, visual features. One focus is to find suitable prototype parts for modeling the object classes. Several issues like the suitability of interest point detectors, the fast generation of visual codebooks and the discrepancy between visual and semantic similarity of structures are discussed and advanced techniques are developed based on the findings. The second focus of this work is the modeling of the visual object classes using the local parts. In particular, methods that incorporate the geometric relationship of the local features have proven to be beneficial.
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About the Author
The author studied Computer Science in Media at the University ofApplied Sciences - Augsburg. She specialized in patternrecognition and image processing at the University of Freiburg,where she finished her PhD in 2008.
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- PublisherSüdwestdeutscher Verlag für Hochschulschriften
- Publication date2009
- ISBN 10 3838105788
- ISBN 13 9783838105789
- BindingPaperback
- LanguageEnglish
- Number of pages168
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Visual Object Class Recognition using Local Descriptions
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Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Aug 2015, 2015
ISBN 10: 3838105788
ISBN 13: 9783838105789
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Huge collections of digital images exist on the web, in large company databases or on our private hard disks. When the images have not been annotated by keywords, finding pictures containing certain objects is a difficult task. This work deals with the recognition of visual object class members in digital photographs, solely using the image data. The fundamental principle of all methods employed and developed in this thesis is the use of local, visual features. One focus is to find suitable prototype parts for modeling the object classes. Several issues like the suitability of interest point detectors, the fast generation of visual cod Elektronisches Buch and the discrepancy between visual and semantic similarity of structures are discussed and advanced techniques are developed based on the findings. The second focus of this work is the modeling of the visual object classes using the local parts. In particular, methods that incorporate the geometric relationship of the local features have proven to be beneficial. 168 pp. Deutsch. Seller Inventory # 9783838105789
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Visual Object Class Recognition using Local Descriptions
Published by
Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG, 2009
ISBN 10: 3838105788
ISBN 13: 9783838105789
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Huge collections of digital images exist on the web, in large company databases or on our private hard disks. When the images have not been annotated by keywords, finding pictures containing certain objects is a difficult task. This work deals with the recognition of visual object class members in digital photographs, solely using the image data. The fundamental principle of all methods employed and developed in this thesis is the use of local, visual features. One focus is to find suitable prototype parts for modeling the object classes. Several issues like the suitability of interest point detectors, the fast generation of visual cod Elektronisches Buch and the discrepancy between visual and semantic similarity of structures are discussed and advanced techniques are developed based on the findings. The second focus of this work is the modeling of the visual object classes using the local parts. In particular, methods that incorporate the geometric relationship of the local features have proven to be beneficial. Seller Inventory # 9783838105789
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Visual Object Class Recognition using Local Descriptions
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Huge collections of digital images exist on the web, in large company databases or on our private hard disks. When the images have not been annotated by keywords, finding pictures containing certain objects is a difficult task. This work deals with the reco. Seller Inventory # 5404965
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Visual Object Class Recognition using Local Descriptions
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ISBN 13: 9783838105789
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Taschenbuch. Condition: Neu. Visual Object Class Recognition using Local Descriptions | Alexandra Teynor | Taschenbuch | Paperback | 168 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften AG Co. KG | EAN 9783838105789 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 101624408
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Visual Object Class Recognition using Local Descriptions
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